Quantatative Analyst



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Quantitative Analyst

Charlotte, NC or Fully Remote

This position is responsible for the development, utilization and maintenance of the necessary models, procedures and systems required for modeling the economics of a large diverse regulated thermal and renewable generation fleet and a multi-commodity fuel & power portfolio. Applications in this domain include forecasting fuel requirements, evaluating the grid impact of renewables, optimizing economics of battery storage and more. The models developed may involve linear & non-linear optimization of unit commitment and dispatch, regression analysis, time series forecasting, derivative pricing, stochastic simulation of markets, renewables & demand, trade valuation and dynamic hedging, These models should be developed in a manner in which statistical analysis, model parameterization, stress testing, back testing, and scenario analysis are streamlined and easily performed.


  • Develop new quantitative models to solve business problems related to the economics of power generation, using techniques such as Monte Carlo simulation, time series forecasting, regression, mathematical optimization
  • Take ownership of existing or new models and analytic tasks. Evaluate assumptions, accuracy, and performance of models. Frequently update/maintain models as technical and business requirements change
  • Serve as quantitative liaison for analytic requests from business partners within organization including power traders, fuel procurement, production cost modelers and resource planning analysts
  • Present quantitative models and analyses to technical and business audiences. Communicate/educate and train at all levels in the organization
  • Follow best practices for model governance and business continuity including version control, robustness/fault tolerance, model documentation, and peer training
  • Ensure all work products and reports comply with both internal and external audit requirements
  • Research and keep abreast of the latest developments in tools and techniques for quantitative analysis

Working Conditions:

  • Office environment

Basic/Required Qualifications:

  • Master’s degree in a quantitative field such as mathematics, engineering, physics or other related discipline

Desired Qualifications:

  • Strong quantitative programming skills in statistical/mathematical software packages such as MATLAB, SAS, R and Python; MATLAB expertise strongly preferred
  • Understanding of inferential and mathematical statistics
  • A general understanding of electric, gas, oil or coal industries
  • Practical knowledge of data visualization tools
  • Familiarity with mathematical optimization techniques and production cost models
  • Familiarity with database structures and ability to navigate & query large databases with minimal assistance
  • Practical experience with timeseries regression analysis, parameter estimation, Monte Carlo simulations, correlation analysis
  • Experience in financial and/or commodity markets
  • Excellent communication and presentation skills with ability to communicate technical subjects to a wide range of audiences

Brooksource provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.


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